Thursday, August 10

MS16
Neuronal Dynamics - Part I of II

1:00 PM-3:00 PM
Koali (Salon 5)

For Part II, see MS21.

Oscillations and other patterns of neuronal activity arise throughout the central nervous system. This activity has been observed in sensory processing, motor activities, and learning, and has been implicated in the generation of sleep rhythms, epilepsy, and Parkinsonian tremor. Mathematical models for neuronal activity often display an incredibly rich structure of dynamic behavior. Examples of network activity include synchronous behavior in which all the cells oscillate in phase, localized bumps of asynchronous rhythms, and propagating waves of activity. The speakers in this minisymposium will discuss complex activity patterns arising from an important neuronal system. The goal is to stimulate cross-disciplinary interactions between experimentalists, computational neuroscientists and mathematicians.

1:00-1:25 Evidence for a Coupled Oscillator Model of the Dopaminergic Neuron

Charles J. Wilson, University of Texas, San Antonio, USA

1:30-1:55 Synchronous Oscillations in a Network Model for Parkinsonian Rhythms

Jonathan E.. Rubin, Ohio State University, USA; David H. Terman, Organizer; Charles J. Wilson, University of Texas, San Antonio, USA; and Alice C. Yew, Ohio State University, USA

2:00-2:25 The Fine Structure of Propagating Waves in Neocortex

David J. Pinto and Barry W. Connors, Brown University, USA

2:30-2:55 Effects of Cellular Heterogeneity on Generating Robust and Stable Neural Rhythms: Experimental and Modeling Studies

Robert J. Butera, Jr., Georgia Institute of Technology, USA; Christopher Del Negro, National Institutes of Health, USA; John Rinzel, Courant Institute of Mathematical Sciences, New York University, USA; and Jeffrey C. Smith, National Institutes of Health, USA